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AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711

2024-12-03 · 55 min · episode 711 · 13 entities

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    AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711
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Entities found in this episode

concepts 5

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  • discusses Tech News concept
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companys 4

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persons 3

  • mentioned Arash Behboodi person
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    AI at the Edge: Qualcomm AI Research at NeurIPS 2024 with Arash Behboodi - #711
  • mentioned Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington

podcasts 1

Episode description as stored
Today, we're joined by Arash Behboodi, director of engineering at Qualcomm AI Research to discuss the papers and workshops Qualcomm will be presenting at this year’s NeurIPS conference. We dig into the challenges and opportunities presented by differentiable simulation in wireless systems, the sciences, and beyond. We also explore recent work that ties conformal prediction to information theory, yielding a novel approach to incorporating uncertainty quantification directly into machine learning models. Finally, we review several papers enabling the efficient use of LoRA (Low-Rank Adaptation) on mobile devices (Hollowed Net, ShiRA, FouRA). Arash also previews the demos Qualcomm will be hosting at NeurIPS, including new video editing diffusion and 3D content generation models running on-device, Qualcomm's AI Hub, and more! The complete show notes for this episode can be found at https://twimlai.com/go/711.